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The Introduction to Spatial Data Infrastructure (SDI) course, led by Arnold Bregt, focuses on both technical and organizational aspects of SDI. Participants will engage in presentations, discussions, and creative exercises, evaluating SDI from various perspectives, including technology, organization, and future trends. The course structure includes weekly themes, guest lectures, case studies, and group presentations. Participants are encouraged to explore their own cases and develop insights into the complexities of SDIs. The course emphasizes scientific communication and collaboration among peers.
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Spatial Data InfrastructureGRS-21306 Course Introduction Arnold Bregt
Contents • I Presentation participants and expectations • II Nature of the course • III Course structure, reader, assessment and learning environment
I Presentation participants and expectations • Name • Country • Course Expectations • Experience with SDI
II Nature of the course • Most GRS courses are rather methodological or technical • Quite often one best answer • The solutions works • Evaluation is more right/wrong • This SDI course is about technical but even more on organization, policy and human aspects • Argumentation, discussion, creativity • Scientific communication (symposium stetting) • Evaluation is more insufficient, adequate, good, very good
III Course structure, reader, assessment and learning environment
III Course Structure (elements) • Organized in weeks • Every week has a fixed format • Elements of the week are: • Introduction lecture • Reader • Case and Self-study • ( Guest lecture ) • Exercise • Student presentations • ( Excursion ) • Feedback on Exercise
III Course Structure • Student Group form a team • Result of the team: • Every week presentation (oral or poster) on a view on Spatial Data Infrastructure • Groups need to select their own case
III Reader Week1 (SDI concepts) • 1. “Spatial data infrastructure for Sustainable land management” • 2. “Spatial data infrastructures as Complex Adaptive Systems”
III Reader Week 2 (Technology view) • 1. “A showcase of Spatial Data Infrastructures and related technologies” • 3. “Towards Spatial Data Infrastructures in the Clouds”
III Reader Week 3 (Organizational view) • 1. “Geo Shared licences: a base for better access to public sector geoinformation for value-added resellers in Europe” • 2. “Increasing the Availability of Spatial Data held by Public Sector Bodies: Some Experiences and Guidelines from the OneGeology-Europe Project”
III Reader • Week 4 (Own view) • 1. “Is there a future for Spatial Data Infrastructures” • 2. “Future SDI – Impulses from Geoinformatics Research and IT Trends” • 3. “Multi-view SDI assessment”
III Case of the Week • You compile a group of 5 persons • You select a SDI for further investigation (country, region, organisation, etc) • Every week you present on aspects of your case study • Your SDI as CAS • Your SDI as a technical infrastructure • Your SDI as a social infrastructure • Your SDI as….?
Assessment • Oral and poster presentations will be marked • Exercise of week 1 and week 3 will be marked
III Learning environment • www.geo-informatie.nl/courses/grs21306
Final Remark • Questions?